TW201004370A - Image signal correcting device, imaging device, image signal correcting method, and program - Google Patents

Image signal correcting device, imaging device, image signal correcting method, and program Download PDF

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TW201004370A
TW201004370A TW098122136A TW98122136A TW201004370A TW 201004370 A TW201004370 A TW 201004370A TW 098122136 A TW098122136 A TW 098122136A TW 98122136 A TW98122136 A TW 98122136A TW 201004370 A TW201004370 A TW 201004370A
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color
correction
image signal
pixel
image
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TW098122136A
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Chinese (zh)
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TWI422234B (en
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Masatsugu Fukunaga
Natsuko Otani
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Sony Corp
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/61Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof
    • H04N23/84Camera processing pipelines; Components thereof for processing colour signals
    • H04N23/843Demosaicing, e.g. interpolating colour pixel values
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/61Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
    • H04N25/611Correction of chromatic aberration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/65Noise processing, e.g. detecting, correcting, reducing or removing noise applied to reset noise, e.g. KTC noise related to CMOS structures by techniques other than CDS
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/79Processing of colour television signals in connection with recording
    • H04N9/87Regeneration of colour television signals
    • H04N9/8715Regeneration of colour television signals involving the mixing of the reproduced video signal with a non-recorded signal, e.g. a text signal

Abstract

Provided is an image signal correcting device (15) comprising a color mixing correction unit (151) for correcting a color mixing component contained in an image signal, which has been photo-electrically converted by a color imaging element (12), in response to the image signal, and a storage unit (153) for storing a color mixing correction coefficient which has been set in advance for each of the regions divided in plurality to correspond to the imaging plane of the imaging element (12). The color mixing correction unit (151) approximates the color mixing correction coefficient, which has been read out of the storage unit (153) at the color mixing correction time, by an interpolation, to thereby acquire a color mixing percentage at a necessary pixel position, so that the color mixing component is corrected by using the color mixing percentage acquired.

Description

201004370 六、發明說明: 【發明所屬之技術領域】 本發明係關於補正具有CMOS圖像感測器等固體攝像元 件之攝像裝置中鄰接像素間之混色(彩色串擾)等的圖像訊 號補正裝置、攝像裝置、圖像訊號補正方法及程式。 【先前技術】 一般而 §,CMOS(Complementary Metal Oxide Semiconductor) 圖像感測器(CIS)等之攝像元件,會產生受鄰接像素之影 響的混色(彩色串擾)。 此色大體區分為基板内部有擴散電荷混入之電性混 色、與入射光因亂反射等而漏入鄰接像素之光學混色。 該等混色成為使色再現性劣化等之對畫f造成不良影響 的主要原因。 a 因此’有人提出有使各色持有混色補正用之係數、可使 面内-律補正之技術,或根據F值同樣以面内一律進行補 正之技術等(例如參照專利文獻”。 ,又 d與混色同時地’在像素内存在因光之吸收 等而無助於光雷-搞 — 先電轉換的光量,且以像素為單 位產生漸暈。 其影響界面反射或對構成 與混色同樣地具有面内分 將如此之漸暈稱為像素陰影, 電日日體之多晶矽等之光吸收等, 佈,成為使晝質劣化之主要原因 佈之補正:人提出有僅關於該像素陰影,考慮攝像面内分 佈之補正裝置(參照專 Π刀 、3)。此等為對來自無視混 138321.doc 201004370 色之感測器輸出之訊號進行陰影補正的系統。 [專利文獻1]曰本特開平10 — 271519號公報 [專利文獻2]日本特開2003-169255號公報 [專利文獻3]曰本特開2006-134157號公報 【發明内容】 [發明所欲解決之問題] 然而’搭載於行動電話之小型相機等中,藉由像素間距 之細微化、及出射光瞳距離之短距離化,感測器之中央像 素與周邊像素之入射角度之差增大(越靠周邊主光線越傾 斜)。 因此,越靠近周邊,於鄰接像素混入之光越增加,且從 微透鏡至光電二極體之間,至相鄰之像素之A1佈線結構等 像素單位不對稱,故光之亂反射至到達光電二極體之前較 複雜。[Technical Field] The present invention relates to an image signal correcting device for correcting color mixing (color crosstalk) between adjacent pixels in an image pickup apparatus having a solid-state image sensor such as a CMOS image sensor, Camera, image signal correction method and program. [Prior Art] In general, an imaging element such as a CMOS (Complementary Metal Oxide Semiconductor) image sensor (CIS) generates color mixture (color crosstalk) which is affected by adjacent pixels. This color is roughly classified into an optical color mixture in which a diffusion charge is mixed in the substrate, and an optical color mixture in which incident light leaks into an adjacent pixel due to disordered reflection or the like. These color mixing is a factor that adversely affects the image f such as deterioration in color reproducibility. a. Therefore, there is a technique for making the color correction for each color, a technique for correcting the in-plane law, or a technique for correcting the same according to the F value (for example, refer to the patent document). Simultaneously with the color mixing, there is no absorption in the pixel due to the absorption of light, etc., which does not contribute to the light-ray--the amount of light that is converted first, and produces vignetting in units of pixels. It affects the interface reflection or has the same composition and color mixture as the color mixture. The in-plane part is called vignetting, such as pixel shading, light absorption of polycrystalline enamel, etc., cloth, which becomes the main cause of deterioration of enamel: people propose to have only shadows about the pixel, consider imaging Correction device for in-plane distribution (refer to the special boring tool, 3). These are systems for shading correction of the signal from the sensor output that ignores the 138321.doc 201004370 color. [Patent Document 1] 曰本特开平10 [Patent Document 2] JP-A-2003-169255 [Patent Document 3] JP-A-2006-134157 (Summary of the Invention) [Problems to be Solved by the Invention] However, In a compact camera such as a telephone, the difference in the incident angle between the central pixel of the sensor and the peripheral pixel is increased by the miniaturization of the pixel pitch and the short distance of the exit pupil distance (the more the peripheral principal ray is inclined) Therefore, the closer to the periphery, the more light is mixed in adjacent pixels, and the pixel unit from the microlens to the photodiode to the adjacent pixel A1 wiring structure is asymmetrical, so the light is reflected to arrive. Photodiodes are more complicated before.

面内一律之混色補正變得困難。It is difficult to correct the color mixture in the face.

力學上不等價。It is not equivalent in mechanics.

號量。 既僅考慮光之散逸過 故難以估計正確的訊 138321.doc 201004370 因此,上述陰景> 補正系統難以進行高精度的補正。 本發明係提供一種可實現面内—律之混色補正且可實 現高精度補正之圖像訊號補正裂置、攝像裝置、圖像訊號 補正方法及程式。 [解決問題之技術手段] 本發明之第1觀點之圖像訊號補正裝置,至少具有混 色補正部,其接受經彩色攝像元件光電轉換之圖像訊號, 補正該圖像訊號中所含之混色成分;及記憶部,其保存預 先設定於對應上述攝像元件之攝像面而複數劃分之各區域 的犯色補正係數;且,上述混色補正部係於混色補正時, 藉由内插近似由上述記憶部讀取之混色補正係數,取得必 要之像素位置的混色率,再利用該取得之混色率進行混色 成分之補正。 本發明之第2觀點之攝像裝置,具有:彩色攝像元件, 攝像被攝體像,及圖像訊號補正裝置,其接受經彩色攝 像元件光電轉換之圖像訊號後進行補正;且,上述圖像訊 號補正裝置,至少具有:混色補正部,其補正經彩色攝像 凡件光電轉換之圖像訊號中所含之混色成分;及記憶部, 其保存預先設定於對應上述攝像元件之攝像面而複數劃分 之各區域的混色補正係數;又,上述混色補正部係於混色 補正時’藉由内插近似由上述記憶部讀取之混色補正係 數’取得必要之像素位置的混色率,利用該取得之混色率 進行混色成分之補正。 較好的是,上述混色補正部係設定複數之代表點,且内 138321.doc 201004370 插代表點間而決定各像素之混色率。 車又好的疋,上述混色補正部,係進行取得之混色率與輸 〇圖像訊號之積和運算,並進行輸人圖像訊號與該積和運 异結果之減法處理而進行混色補正。 較好的是,保存於上述記憶部之混色補正係數,係作為 來自一衫色像素之另—彩色像素之混色率而預先測定並保 存。 較好的是’進而具有陰影補正部,其接受經上述混色補 正部現色補正之圖像訊號,對該被混色補正圖像訊號進行 像素陰影補正。 、車乂好的| |有第2記憶部,其保存預先設定於對應上 述攝像7L件之攝像面而複數劃分之各區域的像素陰影補正 係數,且,上述陰影補正部係藉由内插近似保存於上述第 二己憶部之像素陰影補正係數,而取得必要之像素位置的 補正係數,利用該取得之補正健進行陰影補正。 較好的是’上述陰影補正部,係進行取得之補正係數與 上述被混色補正圖像訊號之積分而進行陰影補正。 本發明之第3觀點之圖像訊號補正方法,盆且有由笵 憶部讀取預先設定於對應彩色攝像元件之攝像面而複㈣ 2之各區域的混色補正係數的步驟;接受經上述攝像元件 光電轉換之圖像訊號,藉由内 1播近似由上述記憶部讀取之 混色補正係數,而取得必要之像素位置的混色率的步驟; 及利用上連取得之混色率進行混色成分之補正的步驟。 本發明之第4觀點之程式,係使電腦執行圖像訊號補正 138321.doc 201004370 處理,該圖像訊號補正處理具有:由記憶部讀取預先設定 於對應彩色攝像元件之攝像面而複數劃分之各區域的混色 補正係數的處理;接受經上述攝像元件光電轉換之圖像訊 號,藉由内插近似由上述記憶部讀取之混色補正係數,而 取侍必要之像素位置的混色率的處理;及利用上述取得之 混色率進行混色成分之補正的處理。 根據本發明,經彩色攝像元件光電轉換之圖像訊號被輪 入混色補正部。 色補正邛於混色補正時藉由内插近似由記憶部讀取 之混色補正係數,而取得必要之像素位置的混色率。 且,混色補正部利用所取得之混色率進行混色成分之補 [發明之效果] 根據本發明’可根據面内分佈實現混色補正,且可 高精度補正。 ' 【實施方式】 以下,錄以圖式說明本發明之實施形態。 圖1係顯示適用本發明之實施形態之圖像訊號補 之攝像裝置的構成例的方塊圖。 、 本攝像裝置1〇,如圖1所示,具有:透鏡系統u、攝像 元件12、她轉換器13、鉗位部H、圖像訊號補正裝置象 15、解馬賽克部16、線性矩陣部17、伽馬補正部a、及袁 度色度訊號生成部19。 冗 又’亮度色度訊號生成部19之輸出側配置有視頻介面 138321.doc 201004370 (I/F)20。 透鏡系⑽含有光圈⑴,其將被攝體像結像 件12之攝像面。 冢疋 攝像元件12,係由CMOS圖像感測器等形 以*夫巨陣 狀排列有複數之單位像素。各像素上對應配置有彩色濾光 片。 攝像元件!2,作為其像素排列,採用如圖2所示 排列。 圖3係顯示本實施形態之攝像元件12之單位像素的構成 例的電路圖。 圖3係顯示本實施形態之由4個電晶體構成之圖像 感測器之像素的一例。 各像素120 ’如圖3所示,具有如光電二極體構成之光電 轉換元件12 1。 且,像素120對於該1個光電轉換元件121,作為能動元 件具有傳送電晶體122、重置電晶體123、放大電晶體 124、及選擇電晶體125之4個電晶體。 光電轉換元件121將入射光光電轉換為對應其光量之量 的電荷(此處為電子)。 傳送電晶體122係連接於光電轉換元件丨2丨與浮置擴散部 FD之間’且於其閘極(傳送閘極)經由傳送控制線LTx被給 與控制訊號之發送訊號TG。 藉此’傳送電晶體122將經光電轉換元件m光電轉換之 電子傳送至浮置擴散部FD。 138321.doc 201004370 重置電晶體123係連接於電源線LVDD與浮置擴散部FD 之間,且於其閘極經由重置控制線LRST被給與控制訊號 之重置訊號RST。 藉此,重置電晶體1 23將浮置擴散部FD之電位重置成電 源線LVDD之電位。 浮置擴散部F D連接有放大電晶體12 4之閑極。放大電晶 體124,經由選擇電晶體125連接於訊號線LSGN,構成像 素部外之定電流源126與源極跟隨器。 且,經由選擇控制線LSEL,對應於位址訊號之作為控 制訊號之選擇訊號SEL被給與選擇電晶體125之閘極,選擇 電晶體125開啟。 當選擇電晶體125開啟時,放大電晶體124放大浮置擴散 部FD之電位,而將對應其電位之電壓輸出於訊號線 LSGN。經由訊號線LSGN,由各像素輸出之電壓被輸出於 行讀取電路。 該等動作,由於係以列單位連接例如傳送電晶體122、 重置電晶體123、及選擇電晶體125之各閘極,故關於1列 之各像素同時進行。 攝像元件12,係以佈線於像素陣列部之重置控制線 LRST、傳送控制線LTx、及選擇控制線LSEL為一組,以 像素排列之各列單位進行佈線。 該等重置控制線LRST、傳送控制線LTx、及選擇控制線 係藉由未圖示之垂直掃描電路驅動。 又,訊號線LSGN係連接於含有CDS電路(相關雙取樣電 138321.doc 201004370 路)等之行讀取電路。 圖4係攝像元件之裝置結構的模式圖及混色的說明圖。 圖4中’攝像元件12具有對於光電轉換元件之光電二極 體PD之受光面,夾著導波路WGD而配置彩色濾光片CF, 且於各彩色濾光片CF之光入射側分別定位微透鏡ML之多 層佈線結構。 導波路WGD上形成有A1佈線或層間膜等。 混色多見於具有CMOS圖像感測器等多層佈線結構之攝 像7L件。其主要原因為,傾斜入射之光之亂反射的成分穿 過A1遮光膜而漏入鄰接像素所引起。 此處將其稱為光學混色。 此外,亦有光電二極體PD間藉由電子之擴散的混色 等’但在現在之製程中非混色之主要原因。 混色現象,係由於形成導波路彩色濾光片CF至光電二極 體PD之路徑之導波路WGD内的亂反射而在由周邊像素 射或朝周邊像素散逸之光的平衡在到達光電二極體PD 之前所複雜引起的現象。 由於一般情形下像素之結構在鄰接間不對稱,故亦難以 推定亂反射。 其後詳述關於本發明之混色補正及陰影補正。 A/D轉換β 13 ’係將藉由攝像元件12之圖像訊號由類此 訊號轉換為數位訊號後輸出於鉗位部丨4。 鉗位部14,係補正藉由A/D轉換器13之數位圖像訊號之 黑色位準’且輸出於圖像訊號補正裝置15。 138321.doc 201004370 圖像訊號補正裝置15,係、用於符合攝像元件12之攝像面 而以矩陣狀(網目狀)劃分之各區域中所推定之實效混色率 θ,將該混色率藉由内插近似而得到必要之像素位置(座標) 上的θ,進行與θ相關聯之混色補正。 圖像H;補正裝置15係對實施混色補正之圖像訊號進行 陰影補正。 圖像訊號補正裝置15,於混色補正及陰影補正時,例如 使用配合攝像元件12之攝像面(補正對象面)以矩陣狀(網目 狀)劃分,網目單位之i首料+ & ± 之後數之代表點相對之各加權係數, 進行所謂B樣條(B-SpHne)内插。 如圖1所示,具有混色補正部 、第1記憶部1 53、及第2記憶部 圖像訊號補正裝置15, 151、像素陰影補正部152 154。 。己隐4153保存有g己合攝像元件12之攝像面而以矩陣狀 (網目狀)劃分之各區域所推定的實效混色率㊀。Quantity. It is difficult to estimate the correct signal only by considering the dissipation of light. 138321.doc 201004370 Therefore, the above-mentioned yin> correction system is difficult to perform high-precision correction. The present invention provides an image signal correction splitting, an image pickup apparatus, an image signal correction method, and a program which can realize in-plane-law color mixing correction and can realize high-precision correction. [Technical means for solving the problem] The image signal correcting device according to the first aspect of the present invention has at least a color mixing correction unit that receives an image signal photoelectrically converted by a color image sensor, and corrects a color mixture component contained in the image signal. And a memory unit that stores a color correction coefficient that is set in advance in each of the plurality of regions corresponding to the imaging surface of the imaging element; and the color correction portion is approximated by the memory portion by interpolation The mixed color correction coefficient is read, the color mixing ratio of the necessary pixel position is obtained, and the mixed color ratio is used to correct the color mixture component. An imaging device according to a second aspect of the present invention includes: a color imaging element, an imaging subject image, and an image signal correcting device that receives an image signal photoelectrically converted by the color imaging element and corrects the image; and the image The signal correction device has at least: a color mixing correction portion that corrects a color mixture component contained in an image signal photoelectrically converted by a color image; and a memory portion that is stored in advance and is plurally divided on an imaging surface corresponding to the image pickup device The color mixing correction coefficient of each of the regions is further obtained by the color mixing correction coefficient read by the memory portion by the interpolation approximation when the color mixture correction is performed, and the color mixture obtained by the color mixing ratio is obtained. The rate is corrected for the color mixing component. Preferably, the color mixing correction unit sets a representative point of the plural number, and the inner color ratio is determined by inserting between 138321.doc 201004370 to represent the color mixing ratio of each pixel. The car is better. The color mixing correction unit performs the sum of the obtained color mixing rate and the input image signal, and performs the color mixing correction by subtracting the input image signal and the product and the difference result. Preferably, the color mixture correction coefficient stored in the memory portion is measured and stored in advance as a color mixture ratio of the other color pixels from the one-shirt color pixel. Preferably, the image compensation unit further receives an image signal corrected by the color correction of the color mixture correction portion, and performs pixel shading correction on the color correction image signal.乂有|||There is a second memory unit that stores a pixel shading correction coefficient that is set in advance in each of the plurality of regions corresponding to the imaging surface of the imaging unit 7L, and the shading correction portion is approximated by interpolation The pixel shading correction coefficient stored in the second memory portion is obtained, and the correction coefficient of the necessary pixel position is obtained, and the shading correction is performed by using the obtained correction key. Preferably, the shading correction unit performs shading correction by integrating the obtained correction coefficient with the mixed color correction image signal. According to a third aspect of the present invention, in the image signal correcting method, the step of reading the color mixture correction coefficient set in each of the regions corresponding to the imaging surface of the color image sensor is performed by the memory unit; The image signal of the photoelectric conversion of the component, the step of obtaining the color mixing ratio of the necessary pixel position by approximating the color mixing correction coefficient read by the memory portion by the internal broadcasting; and correcting the color mixing component by using the color mixing ratio obtained by the upper connection A step of. The program of the fourth aspect of the present invention causes the computer to perform image signal correction 138321.doc 201004370 processing, and the image signal correction processing has the following steps: the memory unit reads the imaging surface preset to the corresponding color imaging element and divides the plurality Processing of a color mixing correction coefficient of each region; receiving an image signal photoelectrically converted by the imaging element, and approximating a color mixing correction coefficient read by the memory portion to obtain a color mixing ratio of a necessary pixel position; And a process of correcting the color mixture component by using the color mixture ratio obtained as described above. According to the present invention, the image signal photoelectrically converted by the color image pickup element is rotated into the color mixture correcting portion. When the color correction is applied to the color mixture correction, the color mixture correction coefficient read by the memory unit is approximated by interpolation, and the color mixture ratio of the necessary pixel position is obtained. Further, the color mixture correcting unit complements the color mixture component by the obtained color mixture ratio. [Effect of the Invention] According to the present invention, color mixture correction can be realized based on the in-plane distribution, and the color correction can be corrected with high precision. [Embodiment] Hereinafter, embodiments of the present invention will be described with reference to the drawings. Fig. 1 is a block diagram showing an example of the configuration of an image pickup apparatus to which image signal compensation according to an embodiment of the present invention is applied. As shown in FIG. 1, the imaging device 1 includes a lens system u, an imaging element 12, a her converter 13, a clamp unit H, an image signal correcting device image 15, a demosaicing unit 16, and a linear matrix portion 17. The gamma correction unit a and the chromaticity signal generation unit 19 are included. The video interface 138321.doc 201004370 (I/F) 20 is disposed on the output side of the redundant luminance chrominance signal generating unit 19. The lens system (10) contains an aperture (1) which images the subject as an imaging surface of the image 12.摄像 The imaging element 12 is formed by a CMOS image sensor or the like, and has a plurality of unit pixels arranged in a matrix. A color filter is disposed corresponding to each pixel. Camera component! 2, as its pixel arrangement, as shown in Figure 2. Fig. 3 is a circuit diagram showing a configuration example of a unit pixel of the image sensor 12 of the embodiment. Fig. 3 is a view showing an example of a pixel of an image sensor composed of four transistors in the embodiment. Each of the pixels 120' has a photoelectric conversion element 12 1 such as a photodiode as shown in Fig. 3 . Further, the pixel 120 has four transistors of the transfer transistor 122, the reset transistor 123, the amplification transistor 124, and the selection transistor 125 as the active element for the one photoelectric conversion element 121. The photoelectric conversion element 121 photoelectrically converts incident light into an electric charge (here, electron) corresponding to the amount of light. The transfer transistor 122 is connected between the photoelectric conversion element 丨2丨 and the floating diffusion FD, and the gate (transfer gate) is supplied with the control signal transmission signal TG via the transfer control line LTx. Thereby, the electrons to be photoelectrically converted by the photoelectric conversion element m are transferred to the floating diffusion FD by the transfer transistor 122. 138321.doc 201004370 The reset transistor 123 is connected between the power supply line LVDD and the floating diffusion FD, and is supplied with a reset signal RST of the control signal via its reset control line LRST. Thereby, the reset transistor 231 resets the potential of the floating diffusion FD to the potential of the power supply line LVDD. The floating diffusion F D is connected to the idle electrode of the amplifying transistor 12 4 . The amplifying transistor 124 is connected to the signal line LSGN via the selection transistor 125 to form a constant current source 126 and a source follower outside the pixel portion. And, via the selection control line LSEL, the selection signal SEL corresponding to the address signal as the control signal is applied to the gate of the selection transistor 125, and the selection transistor 125 is turned on. When the selection transistor 125 is turned on, the amplifying transistor 124 amplifies the potential of the floating diffusion FD, and outputs a voltage corresponding to its potential to the signal line LSGN. The voltage output from each pixel is output to the line read circuit via the signal line LSGN. In these operations, since the gates of the transfer transistor 122, the reset transistor 123, and the selection transistor 125 are connected in units of columns, the pixels of one column are simultaneously performed. The image pickup device 12 is formed by arranging the reset control line LRST, the transfer control line LTx, and the selection control line LSEL wired in the pixel array unit in units of columns of the pixel array. The reset control line LRST, the transfer control line LTx, and the selection control line are driven by a vertical scanning circuit (not shown). Further, the signal line LSGN is connected to a line reading circuit including a CDS circuit (correlated double sampling power 138321.doc 201004370). Fig. 4 is a schematic view showing the structure of the device of the image pickup device and an explanatory view of the color mixture. In FIG. 4, the image pickup device 12 has a light-receiving surface for the photodiode PD of the photoelectric conversion element, and the color filter CF is disposed with the waveguide WGD interposed therebetween, and is positioned on the light incident side of each color filter CF. The multilayer wiring structure of the lens ML. An A1 wiring, an interlayer film, or the like is formed on the waveguide 160D. Color mixing is more common in 7L parts of a multi-layer wiring structure such as a CMOS image sensor. The main reason is that the components of the obliquely incident light are caused to pass through the A1 light-shielding film and leak into the adjacent pixels. This is referred to herein as optical color mixing. In addition, there is also a color mixing of the photodiode PD by electron diffusion, etc., but the main reason for non-mixing in the current process. The color mixing phenomenon is achieved by the balance of the light emitted by the peripheral pixels or toward the peripheral pixels due to the disordered reflection in the waveguide WGD forming the path color filter CF to the path of the photodiode PD to reach the photodiode A phenomenon caused by the complexity of the PD. Since the structure of the pixel is generally asymmetrical between adjacent ones, it is also difficult to estimate the disordered reflection. The color correction and shading correction of the present invention will be described in detail later. The A/D conversion β 13 ' is converted into a digital signal by the image signal of the image pickup device 12 and output to the clamp portion 丨 4 . The clamp portion 14 corrects the black level of the digital image signal by the A/D converter 13 and outputs it to the image signal correcting means 15. 138321.doc 201004370 The image signal correcting device 15 is an effective color mixing ratio θ estimated in each of the regions divided in a matrix (mesh shape) in accordance with the imaging surface of the imaging device 12, and the color mixing ratio is used therein. The θ on the necessary pixel position (coordinate) is obtained by approximating, and the color mixture correction associated with θ is performed. Image H; correction device 15 performs shading correction on the image signal for performing color correction. The image signal correcting device 15 is divided into a matrix (mesh shape) by using an imaging surface (correction target surface) that matches the imaging element 12, for example, when the color correction and the shadow correction are performed, and the number of the first unit of the mesh unit + & The representative point is interpolated with a so-called B-spline (B-SpHne) with respect to each weighting coefficient. As shown in Fig. 1, the color mixture correction unit, the first memory unit 153, and the second memory unit image signal correcting means 15, 151 and the pixel shading correction unit 152 154 are provided. . The hidden 4153 stores the effective color mixing ratio 1 estimated by each of the areas divided by the matrix (mesh shape) of the imaging surface of the imaging element 12.

2色補Μ 151 ’係藉由内插近似算出保存於記憶部153 色率Θ中於此色補正時必要之像素位置(座標)上的㊀, 再用該近似之混色率Θ進行混色補正。 /色補正部151係進行用記憶部153保存之混色率(補正 係數)之B樣條内插而進行混色補正。 ⑽卩154係保存配合攝像元件η之攝像面而 (網目狀)劃分之各Μ所定義的補正係數。 =正物係進行用記憶部154保存之補正係數之Β 樣條内插而進行陰影補正。 138321.doc -11 - 201004370 其後詳述關於圖像訊號補正裝置15之混色補正及陰影補 正。 圖像訊號補正裝置15,於混色補正後,將經陰影補正之 圖像訊號輸出至解馬赛克部1 6。 混色補正後,經陰影補正之圖像訊號,於解馬赛克部“ 實施同步化處理,而於線性矩陣部n實施色再現處理,於 伽馬補正部18經伽馬補正後,被供給於亮度色度訊號生成 部19。 然後,於亮度色度訊號生成部19生成亮度訊號、色度訊 號並經由視頻介面I/F20於未圖示之顯示裝置顯示影像。 以下,包含原理之說明來具體說明關於圖像訊號補正裝 置15之混色補正及陰影補正。 圖5係光之散逸、吸收過程之圖像。 圖6係光之散逸、吸收逆過程之圖像。 圖5顯不像素〇之入射光至光電轉換前之光q❶的散逸吸 收過程(Qo~>q0)。 圖6顯示向像素〇之入射光Q〇之逆過程q〇)。 。亥It形,散逸過程(漸暈)與吸收過程(混色)並不相同。 即,散逸過程(漸暈)#吸收過程(混色)。 ’昆色,如圖5所示,依存於來自周邊像素之光之吸收過 程,陰影依存於對象像素之光之散逸過程,^者在熱力 學上不等價。 因此可知,如圖6所示,當逆向進行光之散逸.吸收過程 時,必須以首先補正來自周邊像素之吸收量(稱其為混色 13832J.doc -12- 201004370 進 :正)、再補正光之散逸量(稱其為像素陰影補正)之順序 =上可以說,既存技術之陰影補正系統僅考慮光之散 而未考慮吸收過程之變位程度,故難以估計正確 的机號量。 即’混色與像素陰影有必要將兩者進行排他性補正 慮该點之系統必不可少。 ^可知混色補正與陰影補正須獨立且以混色補正一陰 衫補正之順序進行。 一本實施形態之圖像訊號補正裝置15,係於混色 行陰影補正而構成。 此處’試將光學混色模型化。 圖7係顯示像素間混色模型之圖。 圖8係顯示各像素之光之散逸、吸收模型的圖。 為表示圖7之對象像素〇號的光量平衡,光學通路 :濾光片至光電二極體之路徑)引起之光之散亂、吸: 量’以與通過各彩色濾、光片後之縫㈣ W各作為说、价如圖8所示定義之。 ^ξ, 此處表不由像素i向周邊像素散逸之光量或電壓’ ^表示由礼反射後入射之光量或電壓(=像素i之=收 光里或電壓),qi表示像素i之感測器輸出訊號量(光* 壓或數位訊號值)。 % 又圖9(A)及(B)係顯示攝像元件(感測器)12之輪出入气 说之例的圖。圖9⑷顯示攝像元件(感測器)12之彩色渡光 138321.doc •13- 201004370 片通過後之輸入訊號,圖9(B)顯示攝像元件(感測器)以 輸出訊號。 下所示 若將該混色模型定式化,則如 [數1] (式l) 像素訊號量之模型 ^處’ q。表㈣縣像素進行光電㈣後之電壓或將其 AD轉換後之數位訊號量。 :。:示將對象像素之彩色遽光片通過後之光量經電壓換 之里或將其AD轉換後之數位訊號量。 光將鄰接於對象像素之像素的彩色渡光片通過後的 里換异為電壓之量,或將其入轉換後之數位訊號量。 …將由對象像素朝周邊散逸之光量卜無助於對象像 _汛號里如之Qg的部分光量)除以對象像素之入射光量 0的無-人7L係數。一般地,〇 〇<“< 〇。 表示將由周邊向對象像素散亂之光量(=來自Q。以外之 :於對象像素之訊號量q。之周邊Qj的部分光量)除以各周 素之入射光量Q』的無次元係數。一般地, 0_0<η』〇<ι·〇。 旦5C〇表不與吸收係數、對象像素及周邊像素之間 里平衡益Μ _ 尤 (例:朝像關^之無助於對象像素的訊號量q 〇的Q 〇的吸收率 像素周邊之電晶體之多晶矽的吸收等)。此處, 13832l.doc -14- 201004370 〇<x〇<l。 n表示鄰接於對象像素之像素數。 將式1變形’如式2所示可表示像素入射光之訊號量。 [數2] ~ Σ^οβ,·The two-color complement 151 ′ is calculated by interpolating the one of the pixel positions (coordinates) necessary for the color correction stored in the color ratio 记忆 of the memory unit 153, and the color mixture correction is performed by the approximate color mixture ratio Θ. The color correction unit 151 performs interpolation of the B-spline of the color mixture ratio (correction coefficient) stored in the storage unit 153 to perform color mixture correction. (10) The 卩154 is a correction coefficient defined by each of the divisions (the mesh shape) of the imaging element η. = The positive system performs the correction of the correction coefficient stored in the memory unit 154. The spline is interpolated to perform shading correction. 138321.doc -11 - 201004370 The color correction and shading correction of the image signal correction device 15 will be described in detail later. The image signal correcting means 15 outputs the shading-corrected image signal to the demosaicing unit 16 after the color mixture correction. After the color mixture is corrected, the image signal corrected by the shading is subjected to the synchronization processing in the demosaicing unit, and the color reproduction processing is performed in the linear matrix portion n, and the gamma correction portion 18 is subjected to gamma correction, and is supplied to the luminance color. The luminance signal generating unit 19 generates a luminance signal and a chrominance signal in the luminance chrominance signal generating unit 19, and displays the video on the display device (not shown) via the video interface I/F 20. Hereinafter, a description will be given of the principle to specifically describe The image color correction device 15 combines the color correction and the shadow correction. Fig. 5 is the image of the light dissipation and absorption process. Fig. 6 is the image of the light dissipation and absorption inverse process. Dissipation absorption process of light q❶ before photoelectric conversion (Qo~>q0) Figure 6 shows the inverse process of incident light Q〇 to the pixel 〇). It is shaped, dissipated process (vignetting) and absorption process (mixed color) is not the same. That is, the dissipation process (vignetting) # absorption process (mixed color). 'Kun color, as shown in Figure 5, depends on the absorption process of light from surrounding pixels, the shadow depends on the light of the object pixel Scatter The process is not thermodynamically equivalent. Therefore, as shown in Fig. 6, when the light is dissipated in the reverse direction, the absorption process must first correct the absorption from the surrounding pixels (referred to as the color mixture 13832J.doc). -12- 201004370 Into: positive), and then the order of the amount of dissipation of the positive light (referred to as the pixel shading correction) = It can be said that the shadow correction system of the existing technology only considers the dispersion of light without considering the degree of displacement of the absorption process. Therefore, it is difficult to estimate the correct machine number. That is, 'mixing color and pixel shading are necessary to exaggerate the two to ensure that the system is essential. ^ It can be seen that the color correction and shadow correction must be independent and correct the color to correct a yin shirt correction The image signal correcting device 15 of the present embodiment is constructed by shading correction of the mixed color line. Here, the optical color mixing model is modeled. Fig. 7 is a view showing a color mixing model between pixels. A diagram of the dissipation of light and the absorption model of each pixel. To indicate the light quantity balance of the target pixel nickname of FIG. 7, the optical path: the path of the filter to the path of the photodiode) Scattered, sucked: The quantity 'is the same as the color through the color filter, the slit after the light film (4) W, the price is defined as shown in Figure 8. ^ξ, here the amount of light that is not dissipated by the pixel i to the surrounding pixels or The voltage ' ^ indicates the amount of light or voltage incident from the ritual reflection (= pixel i = light or voltage), qi indicates the sensor output signal amount of the pixel i (light * voltage or digital signal value). (A) and (B) show a diagram showing an example of the rounding of the imaging element (sensor) 12. Fig. 9 (4) shows the color crossing of the imaging element (sensor) 12 138321.doc • 13- 201004370 After passing the input signal, Figure 9(B) shows the image sensor (sensor) to output the signal. If the color mixing model is normalized as shown below, then [Model 1] (Formula 1) The model of the pixel signal amount ^ 'q. Table (4) The voltage of the county pixel after photoelectric (four) or the digital signal after AD conversion. :. : indicates the amount of digital signal after the amount of light passing through the color pupil of the target pixel is converted by voltage or AD is converted. The light is converted into a voltage amount by the color of the color directional film adjacent to the pixel of the target pixel, or is converted into a converted digital signal amount. ...the amount of light that is dissipated by the object pixel toward the periphery does not contribute to the non-human 7L coefficient of the amount of incident light of the target pixel by the amount of light of the Qg in the object image _ 汛. In general, 〇〇 <"< 〇." indicates the amount of light that is scattered from the periphery to the target pixel (= other than Q: the amount of light of the peripheral Qj of the signal amount q of the target pixel) divided by the incident The non-dimensional coefficient of the amount of light Q. Generally, 0_0<η』〇<ι·〇. The 5C〇 table does not balance with the absorption coefficient, the target pixel and the surrounding pixels _ 尤 (Example: towards the image ^ does not contribute to the signal amount of the target pixel q 吸收 the absorption rate of the absorption of the polycrystalline silicon around the pixel, etc.), here, 13832l.doc -14- 201004370 〇<x〇<l. Indicates the number of pixels adjacent to the target pixel. The expression 1 is deformed as shown in Equation 2 to indicate the amount of signal incident on the pixel. [Number 2] ~ Σ^οβ,·

M J ··_ (式 2) 1~t4〇J~z〇 像素入射光之訊號量…將式1變形 式2表不將光學系統路内引起之光之散亂吸收補正的訊 號量。 所謂光學路徑,係形成圖4之彩色濾光片CF至光電二極 體PD之路徑的導波路WGD内的光學通路。 即,式2之分母表示光散逸、用以補正無助於對象像素 之訊號成分之量的像素陰影補正。M J ··_ (Formula 2) 1~t4〇J~z〇 The amount of signal of the incident light of the pixel... The deformation of Equation 1 shows that the amount of signal corrected by the scattered light in the optical system path is not absorbed. The optical path is an optical path in the waveguide WGD in which the color filter CF of Fig. 4 is formed to the path of the photodiode PD. That is, the denominator of Equation 2 represents the light dissipation, and the pixel shading correction for correcting the amount of the signal component that does not contribute to the target pixel.

式^之分子表示補正由周邊像素散亂之光有助於對象像 素之訊號成分的混色量。 此處為與透鏡陰影區 另’像素陰影為所謂像素之漸暈 分而稱為像素陰影。 其次敍述混色補正式。 混色補正後之訊號量Cg將式2變形如下表示 [數 3] ^ 7=1The numerator of the formula ^ indicates that the light scattered by the surrounding pixels is corrected to contribute to the color mixing amount of the signal component of the object pixel. Here, the shadow of the lens is the same as the pixel shadow of the so-called pixel. The second is to describe the formalization of the mixed color. The signal quantity Cg after the color correction is modified by the following formula [3] ^ 7=1

···(式 3) 138321.doc 201004370 式3之右邊之第2項係指如對象像素0號之周邊像素(n個) 與SQ進行積和運算。 了本發明之貫施形態之模型,如式3明示,若先進行 混色補正,再進行像素陰影補正,則求得對象像素之Q〇。 、然而’由於式3右邊之Qj係圖9(A)所示之彩色渡光片通 過後之光量,故—般為不可測定之量。 因此’有必要以圖9⑻所示之可測定之感測器輸出中, 如後所示之式4〜式6另行展開。 圖1〇係顯示本實施形態之圖像訊號補正裝置15之訊號處 理的流程圖。 理的圖。 ’如圖10所示可知, ’可正確進行後段之 圖Π係顯示對應模型公式2之補正處 本實施形態之圖像訊號補正裝置i 5 藉由對某感測器輸出q〇實施混色補正 像素陰影補正。 若不實施本訊號處理(跳過),則άw A …、,、 / )則由式3可知,Σηρ項放大 陰影增ϋ程度’而Q〇最終不能正確再現。 根據以上點,當以鄰接像素可測定量q展開式2時, 下式4。 ‘' [數4] 該式4···(Expression 3) 138321.doc 201004370 The second term on the right side of Equation 3 refers to the sum of the neighboring pixels (n) of the target pixel No. 0 and SQ. According to the model of the present invention, if the color mixture correction is performed first and the pixel shading is performed first, the Q 对象 of the target pixel is obtained. However, since Qj on the right side of Equation 3 is the amount of light passing through the color light-emitting sheet shown in Fig. 9(A), it is generally an unmeasurable amount. Therefore, it is necessary to separately expand the measurable sensor output shown in Fig. 9 (8) as shown in the following formulas 4 to 6. Fig. 1 is a flow chart showing the signal processing of the image signal correcting device 15 of the present embodiment. Rational picture. As shown in Fig. 10, 'the image of the rear stage can be correctly displayed. The image signal correction device i 5 of the present embodiment is implemented by performing a color correction pixel on a sensor output q〇. Shadow correction. If this signal processing (skip) is not performed, άw A ..., , , / ) is known from Equation 3, and the Σηρ term enlarges the degree of shadow enhancement and Q〇 eventually cannot be reproduced correctly. From the above point, when Equation 2 is developed by the adjacent pixel measurable quantity q, Equation 4 below is obtained. ‘' [number 4]

_ ·_·⑺ 4) 如圖U所示,成為由對象像素之遠侧順序實 施 138321.doc 201004370 鄰接、士細, 人邮接、次次鄰接像正,最接、在〜 *1冢f 之此色補正、及陰影補 進行對象像素〇號之補 正的漸化式 之式3時地1使用鄰接像素之可測定量qj展開混色補正式 [數5] 則為下式5。 ···(式 5) Σ^〇7·~^〇)0 其中_ ·_·(7) 4) As shown in Fig. U, it is implemented in the order of the far side of the target pixel. 138321.doc 201004370 Adjacent, thin, human post, next adjacent image positive, most connected, at ~ *1冢f When the color correction and the shading complement the formula 3 of the gradation of the correction of the target pixel nickname, the RGB measurable amount qj is developed using the measurable amount qj of the adjacent pixel. ···(式5) Σ^〇7·~^〇)0 where

Ac ^j〇Ac ^j〇

~^jk ~XJ 再者, 日卑 w將°亥色補正式5展開至鄰接及次鄰接像素 亏,則為下式ό。 [數6] H 9。令爲+过β為 户1 Μ *=1 η η η 圣买βΛ&|…(式6) >»Ι Ar«i /*1 ΣΣΣβ/〇β^β/*ί/+ I含不能測定量Q之至 °玄式6之右邊第5項含有不能測定量Q。 且,當各像素之散亂平衡至多為入射於像素之光量的數 /〇十數%程度時,則η+Σξ+Χ<1成立。 <<1 ’混色.像素陰影越少,感測器(攝像 由β< 1 ’由式6可知’補正c可以q-XPq之近似值充分 表示。可以說β越 元件)越優良。 因此’本發明之實施形態中基本的混色補正式為7式7 138321.doc 17- 201004370 之劃線部分。 [數7] η ^ Σ ^>Oj - %〇 )00 = - 5] Py〇?y Μ (式7) 之混色 又,式7之右邊第2項之加法部(Σ|3〇為對象像素 量本身。 因此,例如將紅(R)、綠(G)、藍(Β)之彩色濾光片鑲嵌排 列之攝像元件12 ’可用以下方法原理地求得β。 此處求出實驗性之混色量之後,定義ρ — θ,且將式7之 右邊第2項之加法部改寫為2eq。其後將0重新定義為實效 混色率。 <混色率Θ之求法> : 圖12係顯示本實施形態之混色量之測定系統之一例圖。 圖1 3係顯示單色光r之各像素之應答與混色量的圖。 圖12之混色量之測定系統30之構成含有白色光源31、帶 通渡波器(BPF)32、透鏡33、及攝像元件34。攝像元件34 具有與圖1之攝像元件12相同之構成及機能。 例如如圖12所示,準備通過各彩色濾光片CF之感度最大 之波長附近之帶通濾波器32的單色光。將各色之單色光經 由透鏡3 3照射於攝像元件3 4,求出各像素之應答量。 其後’由按各色光源求出之像素值求出混色量。 即,如圖13之例,當使單色光尺照射時,帶通濾波器之 138321.doc 18 201004370~^jk ~XJ In addition, the day w w will be the completion of the 5th color to the adjacent and sub-adjacent pixels, the following formula. [Number 6] H 9. Let + be β be household 1 Μ *=1 η η η St. Buy βΛ&|...(Formula 6) >»Ι Ar«i /*1 ΣΣΣβ/〇β^β/*ί/+ I can not be determined The quantity Q to the right side of the right side of the mysterious form 6 contains the unmeasurable quantity Q. Further, when the dispersion balance of each pixel is at most the number of light incident on the pixel, the value of η + Σξ + Χ < 1 holds. <<1' Mixed color. The less the shadow of the pixel, the sensor (imaging by β < 1 ' is known from Equation 6] The correction c can be expressed sufficiently by the approximate value of q-XPq. It can be said that the more the β element is, the better. Therefore, the basic color mixing in the embodiment of the present invention is officially the underlined portion of Equation 7 138321.doc 17-201004370. [Number 7] η ^ Σ ^>Oj - %〇)00 = - 5] Py〇?y Μ (Expression 7) The color mixture is added, and the addition part of the second term on the right side of Equation 7 (Σ|3〇 is the object) Therefore, for example, the imaging element 12' in which the color filters of red (R), green (G), and blue (Β) are arranged in a mosaic can be theoretically obtained by the following method. After the color mixing amount, ρ - θ is defined, and the addition portion of the second term on the right side of Equation 7 is rewritten to 2 eq. Thereafter, 0 is redefined as the effective color mixing ratio. <Color mixing rate 求 method > : Fig. 12 shows Fig. 1 is a diagram showing the response and color mixing amount of each pixel of the monochromatic light r. The configuration of the color mixing amount measuring system 30 of Fig. 12 includes a white light source 31 and a belt. The wave-passing device (BPF) 32, the lens 33, and the image sensor 34. The image sensor 34 has the same configuration and function as the image sensor 12 of Fig. 1. For example, as shown in Fig. 12, the sensitivity of each color filter CF is prepared. Monochromatic light of the band pass filter 32 near the maximum wavelength. Monochromatic light of each color is irradiated to the image pickup element 34 via the lens 33, The response amount of each pixel is obtained. Then, the color mixture amount is obtained from the pixel values obtained by the respective color light sources. That is, as in the example of Fig. 13, when the monochromatic light scale is irradiated, the band pass filter is 138321.doc 18 201004370

特性無助於G像素與B像素之情形,由於基本上G像素及B 像素被g、b衫⑽光片吸收,故不直接應答於&光。另, 早色光R(彩色據光片R之感度變為最大,且於波長帶域具 有限制之光源)藉由使白色光源通過R波長附近之帶通濾波 器者等而實現。 口此,如此條件下,如圖13所示,存在於0像素與B像 素之應答量(訊號量)相當於來自鄰接R像素之混色量。 同樣地,亦對G像素及b像素各照射G光、B光,藉此可 相互測定混色量。 例如,由R像素至G像素之混色率可由下式8求得。 [數8] 由R像素至G像素之混色率0rg= 一_^單色光照射時之G值…(式8) R單色光照射時之像素R之值 ^ 同樣地,可求出G像素至R像素、G像素至B像素、…等 各像素。 V 且,本貝靶形態之混色補正式,可如下式9、式10表 示。 [數9] 混色補正式 c〇=%~ieJ〇qj ...u 9) [數 10] 像素0之值 像素j之值 ^中,分母分子為像素j之僅通過 彩色遽光片之光源照射時的值。 ··.(式 10) 138321.doc -19- 201004370 至此, 如此, 之記憶部 方法。 於各像素定義混色量,且藉由測定求得混色率。 由於為保持亚補正全像素各混色率有必要有龐大 因此,作為適宜之方法,本實施形態採用以下 P其為製作代表點、藉由於代表點之間進行樣條 sPlne、貝茲曲線(bezier)、線形内插之手法 之混色率的方法。 彳豕京 圖係代表點之混色率θ之推定例的說明圖。 圖像Λ號補正裝置15中,如圖14所示,記憶部⑸保存 有配合攝像元件12之攝像面而劃分為矩陣狀(網目狀)之各 區域所推定之實效混色率Θ。 圖14之例係劃分為Μ之矩陣狀之例,且表示混色率 θ〇〜Θΐ9。 ^色補正部151,係藉由内插近似算出保存於記憶部153 之此色率Θ中混色補正時必要之像素位置(座標)的㊀,再用 該近似之混色率Θ進行混色補正。 混色補正部15 1根據上式9進行混色補正。 圖μ係本實施形態之混色補正部151之混色補正例(原 理)的模式圖。 圖15之例中,記憶部153中保存有各色之混色補正係數 代表點表TBL1。 混色補正部151於混色補正時由記憶部153讀取必要的混 色率Θ,並以特定時點將代表點之間進行樣條、貝茲曲 線、線形内插之手法決定各像素之混色率。 138321.doc 20· 201004370 义其後,混色補正部⑸藉由積和運算器isn對 刖之鉗位部14之圖像訊號盥所争Λ 補正 曾,廿一I , 、所决疋的混色率進行積和運 ^ 亚猎由用減法計算器1512進杆銨4 狄 之圖德 和運异結果與補正前 圖像Λ破之減法處理來進行混色補正。 圖16係本實施形態之陰影補正 理㈣模式圖。 ⑽之陰影補正例(原 圖16之例中,記憶部154中按 ..^ , T杈各色保存有陰影補正係數 代表點表TBL2。 陰影補正部152於陰影補正時由纪 旦/ ^ 丁田°己隐部154讀取必要之陰 衫補正係數,並以特定時點將代表點之η 1〜衣··"占之間進仃樣條、貝茲 曲線、線形内插之手法決定各像素之補正係數。 其後’陰影補正部152藉由用乘算器1521料色補正部 ⑸混色補正後之陰影補正前之圖像訊號與所決定之補正 係數進行積分處理,來進行陰影補正。 外圖Π係顯示本實施形態之混色、像素陰影補正之内插運 算之實例圖。 内插運算中,將代表點間(網目單位)N等分(2的乘方), 如圖Π所示’以各網目定義3個代表點相對應之各加權係 數,而以[各代表點x内插位置之加權係數]求出。 此處’取卜0〜1·〇,1/N級=1像素級。 其後’如下進行所謂Β樣條内插。 [數 11] 内插位置t0之值=wl(t0).代表點1之值(Θ1) +w2(t0)_代表點2之值(Θ2) 138321.doc -21 201004370 + w3(t0)·代表點3之值(Θ3) 如以上說明,本實施形態之圖像訊號補正裝置15具有以 下之特徵的構成。 圖像正裝置15 ’係用於配合攝像元件12之攝像面 :劃分為矩陣狀(網目狀)之各區域所推定之實效混色㈣, 藉由内插近似該混辛座z τ 色羊而仵到必要之像素位置(座標)上的 θ,而進行與Θ相關聯之混色補正。 ,像《補正裝置15對實施混色補正後之圖像訊號進行 陰影補正。 :像:號補正裝置15 ’於混色補正及陰影補正時,例如 狀)劃分,網目單位之複數之補/對象面)以矩陣狀(網目 Π田 之代表點相對之各加權係數, 進订所謂B樣條内插。 双 因此,根據本實施形態可取得以下之效果。 即,可實現面内分佈對應之混色補正。 又,本實施形態中,由於不僅 慮吸收過裎之變位逸過程,亦進行考 量。 '度之補正,因而可估計正確之訊號 其結果,可實現高精度補正。 、另,以上詳細說明之方法亦可係形成 式,且藉由CPU等之電腦執行而構成。% 4序之程 (二’:此程式可以藉由半導體記憶體、磁碟、光碑 (注冊商標)碟等之記錄媒體、及安農有 先[軟 進行存取而執行上述程式地構成。“、’4體之電腦 138321.doc •22- 201004370 【圖式簡單說明】 圖1係顯不適用本發明之實施形態之圖像訊號補正裝置 之攝像裝置的構成例的方塊圖; 圖2係顯示作為像素排列例之拜爾排列的圖; 圖3係顯示本實施形態之攝像元件之單位像素的構成例 的電路圖; 圖4係攝像元件之裝置結構的模式圖及混色的說明圖; 圖5係光之散逸、吸收過程之圖像; 圖6係光之散逸、吸收逆過程之圖像; 圖7係顯示像素間混色模型之圖; 圖8係顯示各像素之光之散逸、吸收模型的圖; 圖9(A)、(B)係顯示攝像元件(感測器)之輸出入訊號之例 的圖; 圖10係顯示本實施形態之圖像訊號補正裴置之訊號處理 的流程圖; 圖11係顯示對應模型公式2之補正處理的圖; 圖1 2係顯示本實施形態之混色量之測定系統之一例的 圖; 圖13係顯示單色光R之各像素之應答與混色量的圖; 圖14係代表點之混色率0之推定例的說明圖; 圖15係本實施形態之混色補正部之混色補正例(原理)的 模式圖; 圖16係本實施形態之陰影補正部之陰影補正例(原理)的 模式圖;及 138321.doc •23- 201004370 圖1 7係顯示本實施形態之混色、像素陰影補正之内插運 算之實例圖。 【主要元件符號說明】 10 攝像裝置 11 透鏡系統 12 攝像元件 13 A/D轉換器 14 鉗位部 15 圖像訊號補正裝置 16 解馬賽克部 17 線性矩陣部 18 伽馬補正部 19 亮度色度訊號生成部 151 混色補正部 152 像素陰影補正部 153 、 154 記憶部 138321.doc 24-The feature does not contribute to the case of G pixels and B pixels. Since substantially G pixels and B pixels are absorbed by the g and b shirts (10), they do not directly respond to & Further, the early-color light R (the light source having the maximum sensitivity of the color light-receiving sheet R and having a limited wavelength band) is realized by passing the white light source through a band pass filter near the R wavelength or the like. In this case, as shown in Fig. 13, the response amount (signal amount) existing in the 0 pixel and the B pixel corresponds to the color mixture amount from the adjacent R pixel. Similarly, G light and B light are also applied to each of the G pixel and the b pixel, whereby the amount of color mixture can be measured. For example, the color mixing ratio from the R pixel to the G pixel can be obtained by the following Equation 8. [Equation 8] The color mixture ratio from the R pixel to the G pixel is 0rg = a value of G at the time of monochromatic light irradiation (Equation 8) The value of the pixel R at the time of R monochromatic light irradiation ^ Similarly, G can be obtained Pixels to R pixels, G pixels to B pixels, ... and so on. V, and the color mixing of the local target form is formal, and can be expressed by the following formulas 9 and 10. [Number 9] Mixed color complement formal c〇=%~ieJ〇qj ...u 9) [Number 10] The value of pixel 0 is the value of pixel j. The denominator is the source of pixel j only through the color light sheet. The value at the time of irradiation. ···(式10) 138321.doc -19- 201004370 So far, the memory part method. The amount of color mixing is defined for each pixel, and the color mixing ratio is determined by measurement. Since it is necessary to maintain a sub-compensation for all the color mixing ratios of the entire pixel, as a suitable method, the present embodiment adopts the following P as a representative point, by performing a spline sPlne and a bezier between the representative points. The method of color mixing rate of linear interpolation. An illustration of a presumption of the color mixture ratio θ of the representative points of the map. In the image affix correction device 15, as shown in Fig. 14, the memory unit (5) stores an effective color mixture ratio 推 estimated by each of the areas divided into a matrix (mesh shape) in accordance with the imaging plane of the imaging element 12. The example of Fig. 14 is an example in which the matrix shape of Μ is divided, and the color mixture ratios θ 〇 Θΐ 。 9 are indicated. The color correction unit 151 calculates one of the pixel positions (coordinates) necessary for the color correction in the color ratio 保存 stored in the memory unit 153 by interpolation, and performs color mixture correction using the approximate color mixture ratio Θ. The color mixture correcting unit 15 1 performs color mixture correction according to the above formula 9. Fig. 5 is a schematic view showing a color mixture correction example (original principle) of the color mixture correcting unit 151 of the embodiment. In the example of Fig. 15, the memory unit 153 stores the color mixture correction coefficient representative point table TBL1 of each color. The color mixture correcting unit 151 reads the necessary color mixture ratio 由 from the memory unit 153 at the time of color mixture correction, and determines the color mixture ratio of each pixel by performing a spline, a Bézi curve, and a line interpolation between the representative points at a specific time point. 138321.doc 20· 201004370 After that, the color mixing correction unit (5) contends for the image signal of the clamp portion 14 of the 藉 by the product sum operator isn, and corrects the color mixing ratio of the I, 廿, I, and 疋The product is combined with the sub-hunting. The subtraction calculator 1512 is used to enter the ammonium 4D and the results of the difference and the subtraction method before the correction image is used to correct the color mixture. Fig. 16 is a view showing a shading correction (fourth) pattern of the embodiment. (10) Shadow correction example (In the example of Fig. 16, in the memory unit 154, the shading correction coefficient representative point table TBL2 is stored in each color of .. , T杈. The shading correction unit 152 is corrected by shading / ^ Ding Tian ° The hidden part 154 reads the necessary correction coefficient of the yin shirt, and determines the pixel of each point by the η 1~ clothing ··· quoting between the representative point, the Bezier curve and the linear interpolation at a specific time point. Then, the shading correction unit 152 performs the shading correction by integrating the image signal before the shading correction by the color correction unit (5) of the color correction unit (5) and the determined correction coefficient. The system diagram shows an example of the interpolation operation of the color mixture and the pixel shading correction in the present embodiment. In the interpolation operation, the representative point (the mesh unit) N is equally divided (the power of 2), as shown in FIG. Each mesh defines the weighting coefficients corresponding to the three representative points, and is obtained by [the weighting coefficient of the interpolation position of each representative point x]. Here, 'taken 0~1·〇, 1/N level=1 pixel level After that, the so-called Β spline interpolation is performed as follows. [Number 11] Interpolation position t0 Value = wl(t0). Represents the value of point 1 (Θ1) +w2(t0)_ represents the value of point 2 (Θ2) 138321.doc -21 201004370 + w3(t0)· represents the value of point 3 (Θ3) As described above, the image signal correcting device 15 of the present embodiment has the following features. The image positive device 15' is used to match the imaging surface of the imaging element 12: each region which is divided into a matrix (mesh shape) The effective color mixing (4), by interpolating the symplectic z τ color sheep and θ to the necessary pixel position (coordinate) θ, and performing the color mixture correction associated with Θ, like "correction device 15 pairs implementation The image signal after the color correction is corrected for shading. : Image: No. Correction device 15 'When mixed color correction and shadow correction, for example, shape), the complex of the mesh unit/object surface) is in a matrix form (Nets Π田之The so-called B-spline interpolation is performed on the weighting coefficients of the representative points. Therefore, according to the present embodiment, the following effects can be obtained. That is, the color mixture correction corresponding to the in-plane distribution can be realized. Not only do you consider the process of absorbing the stagnation, It is also considered. 'The correction of the degree can estimate the result of the correct signal, and the high-precision correction can be realized. Moreover, the method described in detail above can also be formed and executed by a computer such as a CPU. The procedure of 4 (2): This program can be composed of recording media such as semiconductor memory, magnetic disk, and optical monument (registered trademark), and Annon has the first [soft access to execute the above program." Fig. 1 is a block diagram showing an example of a configuration of an image pickup device of an image signal correction device according to an embodiment of the present invention; Fig. 2 is a view showing a configuration of an image pickup device of an image signal correction device according to an embodiment of the present invention; FIG. 3 is a circuit diagram showing a configuration example of a unit pixel of the imaging element of the embodiment; FIG. 4 is a schematic view showing a device configuration of the imaging element and an explanatory view of color mixing; Figure 6 is an image of the process of dissipating and absorbing the light; Figure 7 is a diagram showing the color mixing model between pixels; Figure 8 is a diagram showing the dissipation and absorption model of the light of each pixel. 9(A) and 9(B) are diagrams showing an example of an input/output signal of an image sensor (sensor); FIG. 10 is a flow chart showing signal processing of the image signal correction device of the embodiment; Fig. 1 is a view showing an example of the measurement system of the color mixture amount according to the embodiment; Fig. 13 is a view showing the response of each pixel of the monochromatic light R and the color mixture amount. Fig. 14 is an explanatory diagram showing an example of estimation of the color mixture ratio 0 of the dot; Fig. 15 is a schematic view showing a color mixture correction example (principle) of the color mixture correction portion of the embodiment; Fig. 16 is a shadow of the shadow correction portion of the embodiment. Schematic diagram of the correction example (principle); and 138321.doc • 23- 201004370 Fig. 1 7 shows an example of the interpolation operation of the color mixture and pixel shading correction in the present embodiment. [Description of main component symbols] 10 Imaging device 11 Lens system 12 Imaging device 13 A/D converter 14 Clamping unit 15 Image signal correction device 16 De-mosaic portion 17 Linear matrix portion 18 Gamma correction portion 19 Luminance color signal generation Portion 151 Color mixing correction unit 152 Pixel shading correction unit 153, 154 Memory unit 138321.doc 24-

Claims (1)

201004370 七、申請專利範園: 1. -種圖像訊號補正裝置,其至少包含: 二色正部,其接受經彩色攝像元件光電轉換之圖像 虎補正該圖像訊財所含之混色成分;及 5己杈部’其保存預先設定於對應上述攝像元件之攝像 面而複數劃分之各區域的混色補正係數;且 攝像 上述混色補正部係於混色補正時,藉由内插近似由上 述記憶部讀取之混色補正係數,而取得必要之像素位置 的混色率,再利用該取得之混色率進行混色成分之補 正° 2. 3. 4. 5. 如請求们之圖像訊號補正裝置,其令上述混色補正部 係》又疋獲數之代表點’内插代表點間而決定各像素之混 色率。 :請求項1或2之圖像訊號補正裝置,其中上述混色補正 P係進行取得之混色率與輸入圖像訊號之積和運算, 亚進行輸入圖像訊號與該積和運算結果之減法處理而進 行混色補正。 如請求項1至3中任一項之圖像訊號補正裝置,其中保存 於上述記憶部之混色補正係數,係作為來自一彩色像素 之另一彩色像素之混色率而預先測定並保存。 如凊求項1至4中任一項之圖像訊號補正裝置,其進而包 含陰影補正部,其接受經上述混色補正部混色補正後之 圖像訊號,對該被混色補正圖像訊號進行像素陰影補 正。 138321.doc 201004370 6·如請求項5之圖像訊號補正裝置,其中包含第2記憶部, 其保存㈣設定於對應上述攝像元件之攝像面而複數劃 分之各區域的像素陰影補正係數,且 上述陰影補正部,係藉由内插近似保存於上述第2記 之像素陰影補正係數,而取得必要之像素位置的補 正係數,利用該取得之補正係數進行陰影補正。 7.如請求項6之圖像訊號補正裝置,其中上述陰影補正 和係進行取得之補正係數與上述被混色補正圖像訊號 之積分而進行陰影補正。 8, 一種攝像裝置,其包含: 攝像被攝體像之彩色攝像元件;及 接又經形色攝像元件光電轉換之圖像訊號而進行補正 之圖像訊號補正裝置;且 上述圖像訊號補正裝置,至少包含: 混色補正部,其補正經彩色攝像元件光電轉換之圖 像訊號中所含之混色成分;及 記憶部’其保存預先設^於對應上述攝像元件之攝 像面而複㈣分之各區域的混色補正係數;又 上述混色補正部係於混色補正時,藉由内插近似甴 上迹記憶部讀取之混色補正係數,而取得必要之像素 Γ的混色率,利用該取得之混色率進料色成分之 補正。 9· Γ求項8之攝像裝置’其令上述混色補正部係設定複 數之代表點’内插代表關㈣定各像素之混色率。 138321.doc 201004370 10·如請求項8或9之攝像裝置,其中上述混色補正部係進行 取得之混色率與輪入圖像訊號之積和運算,並進行輪入 圖像訊號與該積和運算結果之減法處理而進行混色補 11·如請求項8至10中任一項之攝像裂置,其中保存於上述 δ己憶部之混色補正係數,係作為來自一彩色像素之另一 彩色像素之混色率而預先測定並保存。 12. 如請求㉞至!!中任一項之攝像裝置,其係進而包含陰 影補正部,其接受經上述混色補正部混色補正後之圖: 訊號’對該被混色補正圖像訊號進行像素陰影補正。 13. 如請求項12之攝像裝置’其係包含第之記憶部,其保存 預先設定於對應上述攝像元件之攝像面而複數劃分之各 區域的像素陰影補正係數,且 上述陰影補正部,係藉由内插近似保存於上述第找 憶部之像素陰影補正係數’而取得必要之像素位置的補 正係數,利用遠取得之補正係數進行陰影補正。 陰影補正 Ή求㈣之攝像裝置,其中上述陰影補正部係進行取 仔之補正係數與上述被混色補正圖像訊號之積分而進行 1 5. —種圖像訊號補正方法,其包含: 由記憶部讀取預先設定於對應彩色攝像元件之攝像面 而複數劃分之各區域的混色補正係數的步驟; 接受經上述攝像元件光電轉換後之圖像訊號,藉由内 插近似由上述記憶部讀取之混色補正係數,而取得必要 138321.doc 201004370 之像素位置的混色率的步驟;及 16 —湘上述取得之混色率進行混色成分之補正的步驟。 寿弋,、係在電腦上執行圖像訊號補正處理,該圖 像说號補正處理包含·· =部讀取預先設定於對應彩色攝像元件之攝像面 而稷數劃分之各區域的混色補正係數的處理; 接受經上述攝像元件光電轉換後之圖像訊號,藉由内 插近似由上述記憶部讀取之混色補正係數, 3 之像素位置的混色率的處理;及 、 侍必要 利用上述取得之混色率進行混 色成分之補正的處理 〇 138321.doc201004370 VII. Application for Patent Park: 1. An image signal correction device, which includes at least: a two-color positive portion, which accepts an image converted by a color image sensor to correct the color component contained in the image. And 5 杈 杈 ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' The color correction coefficient read by the part is obtained, and the color mixing ratio of the necessary pixel position is obtained, and the mixed color ratio is used to correct the color mixture component. 2. 3. 4. 5. If the image signal correction device of the requester is Let the above-mentioned color mixing correction system "capture the representative point of the number" to interpolate between the representative points to determine the color mixing ratio of each pixel. The image signal correction device of claim 1 or 2, wherein the color mixing correction P is a sum operation of the obtained color mixing ratio and the input image signal, and sub-processing the input image signal and the product sum operation result Perform color mixing correction. The image signal correcting device according to any one of claims 1 to 3, wherein the color mixture correction coefficient stored in said memory portion is measured and stored in advance as a color mixture ratio of another color pixel from one color pixel. The image signal correction device according to any one of claims 1 to 4, further comprising a shadow correction unit that receives an image signal corrected by the color mixture correction unit and performs pixel matching on the mixed color correction image signal Shadow correction. 138321.doc 201004370 6. The image signal correction device of claim 5, comprising: a second memory portion that stores (4) a pixel shading correction coefficient set in each of the plurality of regions corresponding to the imaging surface of the imaging element, and the above The shading correction unit acquires the correction coefficient of the necessary pixel position by interpolating and storing the pixel shading correction coefficient of the second pixel, and performs shading correction using the obtained correction coefficient. 7. The image signal correcting device of claim 6, wherein the shading correction and the correction coefficient obtained by the shading are integrated with the blended color correction image signal to perform shading correction. 8. An image pickup apparatus comprising: a color image pickup device that captures an image of a subject; and an image signal correction device that is corrected by an image signal photoelectrically converted by the color image pickup device; and the image signal correction device The method further includes: a color mixing correction portion that corrects a color mixture component included in an image signal photoelectrically converted by the color image sensor; and a memory portion that is stored in advance corresponding to the image pickup surface corresponding to the image pickup device, and each of the four (four) points The color mixing correction coefficient of the region; and the color mixing correction portion is added to the color mixing correction coefficient read by the upper trace memory portion by interpolation, thereby obtaining the color mixing ratio of the necessary pixel ,, and using the obtained color mixing ratio Correction of the color component of the feed. 9. The image pickup apparatus of the item 8 is configured to cause the color mixture correction unit to set a complex representative point of the 'interpolation representative' (four) to set the color mixture ratio of each pixel. The image pickup device of claim 8 or 9, wherein the color mixing correction unit performs a sum operation of the obtained color mixing ratio and the wheeled image signal, and performs a round-in image signal and the product-sum operation. The result of the subtractive processing is performed by the subtractive processing. The image-cracking of any one of claims 8 to 10, wherein the color mixture correction coefficient stored in the δ-resonation portion is used as another color pixel from a color pixel. The color mixing ratio is measured and stored in advance. 12. If request 34 to! ! The image pickup device according to any of the preceding claims, further comprising a shading correction unit that receives a color correction corrected by the color mixture correction unit: a signal 'subpixel shading correction of the mixed color correction image signal. 13. The imaging device of claim 12, comprising a first memory portion that stores a pixel shading correction coefficient that is set in advance in each of the plurality of regions corresponding to the imaging surface of the imaging element, and the shadow correction portion is borrowed The correction coefficient of the necessary pixel position is obtained by interpolating the pixel shading correction coefficient ' stored in the above-mentioned first memory portion, and the shading correction is performed by using the correction coefficient obtained far. The image processing device of the shading correction (4), wherein the shading correction unit performs an integration of the correction coefficient of the picking and the color correction image signal, and performs an image signal correction method, which includes: a step of reading a color mixture correction coefficient preset in each of the plurality of divided regions corresponding to the imaging surface of the color imaging element; and receiving an image signal photoelectrically converted by the imaging device, and reading the image by the memory portion by interpolation The color mixing correction coefficient is obtained, and the color mixing ratio of the pixel position of 138321.doc 201004370 is obtained; and the color mixing ratio obtained by the above-mentioned color mixing ratio is corrected. In the image processing, the image correction processing is performed on the computer, and the image correction processing includes the color correction coefficient previously set in the image plane of the corresponding color image sensor and the area of the number division. Processing; receiving an image signal photoelectrically converted by the imaging element, and interpolating the color mixing correction coefficient read by the memory unit, and processing the color mixing ratio of the pixel position of 3; and Color mixing rate for correction of color mixing components 〇138321.doc
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